Flexible Background-Texture Analysis for Coronary Artery Extraction Based on Digital Subtraction Angiography
Image subtraction makes it possible to enhance the visibility of the difference between two images. This technique has been used in digital subtraction angiography (DSA) that is a well established modality for the visualization of coronary arteries. DSA involves the subtraction of a mask image – an...
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creator | Park, Sung-Ho Cha, Jeong-Hee Lee, Joong-Jae Kim, Gye-Young |
description | Image subtraction makes it possible to enhance the visibility of the difference between two images. This technique has been used in digital subtraction angiography (DSA) that is a well established modality for the visualization of coronary arteries. DSA involves the subtraction of a mask image – an image of the heart before injection of contrast medium – from live image. A serious disadvantage of this method, inherent to the subtraction operation, is sensitivity to distortion and variance of background gray-level intensity. Among the causes of these distortions are mean gray-level shift, and motions of heart and lung. In this paper, by choosing the image that has the minimum distortion through similarity analysis of background texture, we suggest the way to solve fundamental problems caused by background distortion, and then how to segment vessel from colony angiography through local gray-level correction of selected image. |
doi_str_mv | 10.1007/11424758_2 |
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This technique has been used in digital subtraction angiography (DSA) that is a well established modality for the visualization of coronary arteries. DSA involves the subtraction of a mask image – an image of the heart before injection of contrast medium – from live image. A serious disadvantage of this method, inherent to the subtraction operation, is sensitivity to distortion and variance of background gray-level intensity. Among the causes of these distortions are mean gray-level shift, and motions of heart and lung. 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This technique has been used in digital subtraction angiography (DSA) that is a well established modality for the visualization of coronary arteries. DSA involves the subtraction of a mask image – an image of the heart before injection of contrast medium – from live image. A serious disadvantage of this method, inherent to the subtraction operation, is sensitivity to distortion and variance of background gray-level intensity. Among the causes of these distortions are mean gray-level shift, and motions of heart and lung. In this paper, by choosing the image that has the minimum distortion through similarity analysis of background texture, we suggest the way to solve fundamental problems caused by background distortion, and then how to segment vessel from colony angiography through local gray-level correction of selected image.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Digital subtraction angiography (DSA)</subject><subject>Exact sciences and technology</subject><subject>motion correction</subject><subject>texture analysis</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540258605</isbn><isbn>3540258604</isbn><isbn>3540320431</isbn><isbn>9783540320432</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpFkM1OwzAQhM2fRCm98AS5IHEJ2F7bcY6htIBUiQPlHDm2E0xDHNmp1L49qYpgDzsrfbMr7SB0Q_A9wTh7IIRRlnFZ0hN0BZxhoJgBOUUTIghJAVh-hmZ5Jg-McikwP0cTDJimecbgEs1i_MJjARES6AS1y9buXNXa5FHpTRP8tjPp2u6GbbBJ0al2H11Mah-SuQ--U2GfFGGwoyx2Q1B6cL4bV6M1yTg8ucYNqk3et9UfLLrG-Sao_nN_jS5q1UY7-9Up-lgu1vOXdPX2_DovVmlPiRxSyTRmrAbBBNHM1NRk3EgBteAGc8Zy0BIM1ozxSktq8kxXyhBtGcWVAgFTdHu826uoVVsH1WkXyz647_GBkog8J2MbfXdHXxxR19hQVt5vYklweUi7_E8bfgA9Hm1E</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Park, Sung-Ho</creator><creator>Cha, Jeong-Hee</creator><creator>Lee, Joong-Jae</creator><creator>Kim, Gye-Young</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>Flexible Background-Texture Analysis for Coronary Artery Extraction Based on Digital Subtraction Angiography</title><author>Park, Sung-Ho ; Cha, Jeong-Hee ; Lee, Joong-Jae ; Kim, Gye-Young</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p218t-84c044f36461c4df2d75d863f65d054493c83d0c445bc82d97cbad1ce420ba363</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Digital subtraction angiography (DSA)</topic><topic>Exact sciences and technology</topic><topic>motion correction</topic><topic>texture analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Sung-Ho</creatorcontrib><creatorcontrib>Cha, Jeong-Hee</creatorcontrib><creatorcontrib>Lee, Joong-Jae</creatorcontrib><creatorcontrib>Kim, Gye-Young</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Sung-Ho</au><au>Cha, Jeong-Hee</au><au>Lee, Joong-Jae</au><au>Kim, Gye-Young</au><au>Gervasi, Osvaldo</au><au>Gavrilova, Marina L.</au><au>Taniar, David</au><au>Laganà, Antonio</au><au>Mun, Youngsong</au><au>Lee, Heow Pueh</au><au>Tan, Chih Jeng Kenneth</au><au>Kumar, Vipin</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Flexible Background-Texture Analysis for Coronary Artery Extraction Based on Digital Subtraction Angiography</atitle><btitle>Computational Science and Its Applications – ICCSA 2005</btitle><date>2005</date><risdate>2005</risdate><spage>11</spage><epage>18</epage><pages>11-18</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540258605</isbn><isbn>3540258604</isbn><eisbn>3540320431</eisbn><eisbn>9783540320432</eisbn><abstract>Image subtraction makes it possible to enhance the visibility of the difference between two images. This technique has been used in digital subtraction angiography (DSA) that is a well established modality for the visualization of coronary arteries. DSA involves the subtraction of a mask image – an image of the heart before injection of contrast medium – from live image. A serious disadvantage of this method, inherent to the subtraction operation, is sensitivity to distortion and variance of background gray-level intensity. Among the causes of these distortions are mean gray-level shift, and motions of heart and lung. In this paper, by choosing the image that has the minimum distortion through similarity analysis of background texture, we suggest the way to solve fundamental problems caused by background distortion, and then how to segment vessel from colony angiography through local gray-level correction of selected image.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11424758_2</doi><tpages>8</tpages></addata></record> |
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source | Springer Books |
subjects | Applied sciences Computer science control theory systems Digital subtraction angiography (DSA) Exact sciences and technology motion correction texture analysis |
title | Flexible Background-Texture Analysis for Coronary Artery Extraction Based on Digital Subtraction Angiography |
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